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» Dynamic power management using machine learning
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HPCA
2012
IEEE
13 years 7 months ago
Flexible register management using reference counting
Conventional out-of-order processors that use a unified physical register file allocate and reclaim registers explicitly using a free list that operates as a circular queue. We ...
Steven Battle, Andrew D. Hilton, Mark Hempstead, A...
CIKM
2008
Springer
15 years 1 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
ICSE
2009
IEEE-ACM
15 years 6 months ago
Using quantitative analysis to implement autonomic IT systems
The software underpinning today’s IT systems needs to adapt dynamically and predictably to rapid changes in system workload, environment and objectives. We describe a software f...
Radu Calinescu, Marta Z. Kwiatkowska
ECML
2005
Springer
15 years 5 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 3 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...